Roman Pflugfelder

Project title: Video De-Occlusion

Host Institution: Technical University of Munich (TUM)

Host Supervisor: Prof. Laura Leal-Taixé

Co-host Institution: Technion

Co-host Supervisor: Prof. Michael Lindenbaum

Summary project: Occlusion is an important and open problem in computer vision. Most of modern, visual recognition algorithms still suffer from occlusion. Making the algorithms robust to occlusion is challenging, as occlusion is the result of the imaging process and emerges from the projection of a three dimensional world onto a two dimensional image.

Robust recognition therefore needs to identify occluded image regions and then to amodally complete across those gaps. However, this project will go a different way and instead of the single image the project will consider spatiotemporal, integrative mechanisms underlying sequences of images. The project aims especially at fragmented occlusion which happens in scenes with trees, and bushes as occluders (see the illustration).

It is well known in the cognitive sciences but less known in computer vision that the temporal dimension of vision introduces important cues for robust visual recognition. Concepts such as visual persistence and anorthoscopic perception rely on motion percepts which are not available in single images.

The project will study new algorithms for object detection on synthetic and real image sequences that mimic these concepts.

Roman Pflugfelder
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EuroTechPostdoc2 Programme

Within the EuroTechPostdoc2 programme, the universities of the EuroTech Universities Alliance offer seventy Marie Skłodowska-Curie fellowships to experienced high-potential researchers, in two calls for 35 fellows each. Besides giving the fellows the freedom to establish their own research lines, the programme provides exceptional training opportunities to prepare the fellows for a future as part of the new generation of scientific leaders, within and outside of academia.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 899987.

Supported by Eindhoven University of Technology. Designed by Penrose CDB – www.penrose-cdb.com